轴承是旋转机械中最广泛使用的零件之一。由于高速重载等因素影响,轴承故障经常发生,导致设备停机,甚至造成人员伤亡。但轴承故障诱导产生的冲击相对微弱,不易探测。为有效探测轴承微弱故障,提出一种新的基于匹配稳态随机共振的轴承故障诊断方法。相比于传统的双稳态等定稳态随机共振,匹配稳态随机共振的势函数的结构和势阱数量可根据复杂多样的轴承振动信号进行调整,更加有利于增强微弱的轴承故障冲击信号。通过数值仿真,分析了匹配稳态随机共振各参数对共振输出的影响及其抗噪鲁棒性。通过轴承内圈故障案例和滚动体故障案例,验证所提方法对轴承故障诊断的有效性,且效果优于传统的双稳态随机共振。
池阔
,
康建设
,
张星辉
,
杨志远
,
赵斐
,
池阔
,
康建设
,
张星辉
,
杨志远
,
赵斐
. 基于匹配稳态随机共振的轴承故障诊断方法[J]. 复杂系统与复杂性科学, 2019
, 16(2)
: 85
-94
.
DOI: 10.13306/j.1672-3813.2019.02.010
Bearing is one of the most widely used parts in rotating machinery. However, the bearing often fails because of the poor work environment such as high speed and heavy load, which results the equipment stops and even casualties. The fault-induced impulses are too weak to be detected. A novel matched-stable stochastic resonance (MSR) is proposed for bearing fault diagnosis. Unlike the traditional fixed-stable stochastic resonance like the bi-stable stochastic resonance, the potential structure and potential well number of the MSR are changed according to the complicated and diverse vibration signals, which is more benefit for the enhancement of the weak bearing fault-induced impulses. Through the bearing inner ring fault case and rolling element fault case, the proposed method is effective for bearing fault diagnosis and better than the traditional bi-stable stochastic resonance.
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